


import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand


def    __lowerCamelCase   (      A__						: str					)     ->    Union[str, Any]:
   return EnvironmentCommand()


def    __lowerCamelCase   (      A__						: List[str]					)     ->    List[Any]:
   return EnvironmentCommand(args.accelerate_config_file					)





class   SCREAMING_SNAKE_CASE_			(__lowerCAmelCase						):




       '''simple docstring'''



       @staticmethod
       def 				_lowerCAmelCase							(						__a				:				Any							)					->Any:
          lowerCamelCase_						:   Any		= parser.add_parser("""env"""							)
          download_parser.set_defaults(func=_lowerCamelCase							)
          download_parser.add_argument(
              """--accelerate-config_file"""		,				default=_lowerCamelCase		,				help="""The accelerate config file to use for the default values in the launching script."""		,				)
          download_parser.set_defaults(func=_lowerCamelCase							)



       def __init__(						self				:				Optional[Any]		,				__a				:				Dict		,				*__a				:				int							)					->Optional[Any]:
          lowerCamelCase_						:   Any		= accelerate_config_file



       def 				_lowerCAmelCase							(						self				:				Union[str, Any]							)					->Tuple:
          lowerCamelCase_						:   str		= """not installed"""
          if is_safetensors_available():
             import safetensors

             lowerCamelCase_						:   Tuple		= safetensors.__version__
          elif importlib.util.find_spec("""safetensors"""							) is not None:
             import safetensors

             lowerCamelCase_						:   Dict		= F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

          lowerCamelCase_						:   int		= """not installed"""
          lowerCamelCase_						:   Tuple		= """not found"""
          if is_accelerate_available():
             import accelerate
             from accelerate.commands.config import default_config_file, load_config_from_file

             lowerCamelCase_						:   Any		= accelerate.__version__
             # Get the default from the config file.
             if self._accelerate_config_file is not None or os.path.isfile(_lowerCamelCase							):
                lowerCamelCase_						:   Union[str, Any]		= load_config_from_file(self._accelerate_config_file							).to_dict()

             lowerCamelCase_						:   List[str]		= (
                 """\n""".join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]							)
                 if isinstance(_lowerCamelCase		,				_lowerCamelCase							)
                 else F'''\t{accelerate_config}'''
             )

          lowerCamelCase_						:   List[Any]		= """not installed"""
          lowerCamelCase_						:   List[Any]		= """NA"""
          if is_torch_available():
             import torch

             lowerCamelCase_						:   List[Any]		= torch.__version__
             lowerCamelCase_						:   Union[str, Any]		= torch.cuda.is_available()

          lowerCamelCase_						:   int		= """not installed"""
          lowerCamelCase_						:   int		= """NA"""
          if is_tf_available():
             import tensorflow as tf

             lowerCamelCase_						:   str		= tf.__version__
             try:
                # deprecated in v2.1
                lowerCamelCase_						:   Any		= tf.test.is_gpu_available()
             except AttributeError:
                # returns list of devices, convert to bool
                lowerCamelCase_						:   Any		= bool(tf.config.list_physical_devices("""GPU"""							)							)

          lowerCamelCase_						:   List[Any]		= """not installed"""
          lowerCamelCase_						:   Union[str, Any]		= """not installed"""
          lowerCamelCase_						:   int		= """not installed"""
          lowerCamelCase_						:   str		= """NA"""
          if is_flax_available():
             import flax
             import jax
             import jaxlib

             lowerCamelCase_						:   str		= flax.__version__
             lowerCamelCase_						:   int		= jax.__version__
             lowerCamelCase_						:   Union[str, Any]		= jaxlib.__version__
             lowerCamelCase_						:   List[str]		= jax.lib.xla_bridge.get_backend().platform

          lowerCamelCase_						:   Any		= {
              """`transformers` version""": version,
              """Platform""": platform.platform(),
              """Python version""": platform.python_version(),
              """Huggingface_hub version""": huggingface_hub.__version__,
              """Safetensors version""": F'''{safetensors_version}''',
              """Accelerate version""": F'''{accelerate_version}''',
              """Accelerate config""": F'''{accelerate_config_str}''',
              """PyTorch version (GPU?)""": F'''{pt_version} ({pt_cuda_available})''',
              """Tensorflow version (GPU?)""": F'''{tf_version} ({tf_cuda_available})''',
              """Flax version (CPU?/GPU?/TPU?)""": F'''{flax_version} ({jax_backend})''',
              """Jax version""": F'''{jax_version}''',
              """JaxLib version""": F'''{jaxlib_version}''',
              """Using GPU in script?""": """<fill in>""",
              """Using distributed or parallel set-up in script?""": """<fill in>""",
          }

          print("""\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n"""							)
          print(self.format_dict(_lowerCamelCase							)							)

          return info




       @staticmethod
       def 				_lowerCAmelCase							(						__a				:				Union[str, Any]							)					->List[str]:
          return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]							) + "\n"






"""simple docstring"""


import os
from distutils.util import strtobool





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase							)				->   Union[str, Any]:




						'''simple docstring'''



						for e in env_keys:
												lowerCamelCase__   =int(os.environ.get(__lowerCAmelCase  ,       -1							)							)
												if val >= 0:
																		return val
						return default





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase=False							)				->   List[str]:




						'''simple docstring'''



						lowerCamelCase__   =os.environ.get(__lowerCAmelCase  ,       str(__lowerCAmelCase							)							)
						return strtobool(__lowerCAmelCase							) == 1  # As its name indicates `strtobool` actually returns an int...





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase="no"							)				->   Union[str, Any]:




						'''simple docstring'''



						lowerCamelCase__   =os.environ.get(__lowerCAmelCase  ,       str(__lowerCAmelCase							)							)
						return value


